Update BeeKeeperAI partner listing: industry-agnostic positioning and Confidence/Control/Compliance framework - #128748
Update BeeKeeperAI partner listing: industry-agnostic positioning and Confidence/Control/Compliance framework#128748chalkatx wants to merge 7 commits into
Conversation
Updated the confidential computing solution listing. Mary Beth Chalk
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
|
chalkatx : Thanks for your contribution! The author(s) and reviewer(s) have been notified to review your proposed change. AnanyaGarg |
|
Learn Build status updates of commit 21a2a0a: ❌ Validation status: errorsPlease follow instructions here which may help to resolve issue.
For more details, please refer to the build report. Note: Your PR may contain errors or warnings or suggestions unrelated to the files you changed. This happens when external dependencies like GitHub alias, Microsoft alias, cross repo links are updated. Please use these instructions to resolve them. |
|
Learn Build status updates of commit a5a8994: ✅ Validation status: passed
For more details, please refer to the build report. |
PRMerger Results
|
|
Can you review the proposed changes? Important: When the changes are ready for publication, adding a #label:"aq-pr-triaged" |
|
chalkatx : Thanks for your contribution! The author(s) and reviewer(s) have been notified to review your proposed change. AnanyaGarg |
There was a problem hiding this comment.
Note
Copilot was unable to run its full agentic suite in this review.
Pull request overview
Updates the BeeKeeperAI partner listing to reflect an industry-agnostic positioning and introduce a Confidence/Control/Compliance value framework, while expanding capability and trust/compliance messaging.
Changes:
- Reframes the listing from healthcare-centric to cross-industry and adds an “Industries We Serve” section.
- Introduces a Confidence/Control/Compliance framework and expands capability descriptions (models, LLMs, agentic workflows) with outcomes and certifications.
- Updates metadata/customer intent and refreshes “Getting Started” messaging and links.
💡 Add a code-review agent skill or configure MCP servers for context-aware, tailored reviews. Learn more in the docs.
| The data custodian configures their Azure tenant to enable EscrowAI to automate the spin up and spin down of the Trusted Execution Environment with Azure Confidential Computing. The configuration takes hours, not days to complete. | ||
|
|
||
| You can also check out [how BeeKeeperAI speeds AI development with Azure confidential computing](https://www.microsoft.com/en/customers/story/26750-beekeeperai-azure-confidential-ledger). | ||
| You can also check out how [BeeKeeperAI Speeds AI Development with Azure Confidential Computing] (https://www.microsoft.com/en/customers/story/26750-beekeeperai-azure-confidential-ledger). |
| # BeeKeeperAI, Inc. | ||
|
|
||
| BeeKeeperAI is a confidential computing software company. Its EscrowAI® platform is a secure execution layer that lets AI and analytics run on sensitive data by using Azure confidential computing capabilities inside hardware-isolated Trusted Execution Environments (TEEs) and a zero-trust architecture. | ||
| BeeKeeperAI is a confidential computing software company. Its EscrowAI platform provides confidential and verifiable execution workflows for AI -- enforcing the actions and outputs of models and agents inside Azure confidential computing's hardware-isolated Trusted Execution Environment (TEEs), with an immutable, tamper-proof record of each computing cycle. |
| - Zero IP exposure incidents across 4+ years in commercial production. | ||
| - Cuts security and compliance approval timelines by 6+ months — approval in as little as 2 weeks. | ||
| - 100% of computation stays inside the customer's secure boundary, and 100% of runs generate an immutable, tamper-proof audit record. | ||
| - Supports data sovereignty requirements, |
Updates the BeeKeeperAI partner listing to align with our current website positioning: